Latest AI and machine learning research in public health for healthcare professionals.
BACKGROUND: Antimicrobial resistance (AMR) continues to threaten the effectiveness of modern medicine and poses major public health challenges worldwide. Antimicrobial stewardship (AMS) programmes are essential to mitigate inappropriate antimicrobial use but are often resource-intensive and difficult to sustain. Advances in artificial intelligence (AI) have generated interest in its potential to s...
Research engaged with AI has dramatically increased due to a huge improvement of technologies in terms of cost and time-effectiveness as well as decreasing use of animals. High throughput screening (HTS) is a frequently used method in drug discovery. Here, we combined two powerful tools for AI-driven identification of Zika virus (ZIKV) inhibitors. The main complication from ZIKV is microcephaly an...
Urine is an attractive source of cancer biomarkers because it can be collected non-invasively and repeatedly, yet high diagnostic accuracy in early st...
BACKGROUND: The current landscape of emergency care (EC) is marked by high demand, leading to issues such as emergency department boarding, overcrowdi...
BACKGROUND: Postoperative monitoring of free vascularized flaps (FVFs) is critical for early detection of ischemia and timely salvage. Although tradit...
The rapid integration of Artificial Intelligence (AI) in higher education has changed teaching and assessment practices and has introduced new risks f...
BACKGROUND: Thirty-day unplanned readmission following coronary artery bypass grafting (CABG) affects 10%-20% of patients and is a key quality indicat...
Emerging and re-emerging infectious diseases ranging from the 1918 H1N1 influenza pandemic to the recent SARS-CoV-2 and monkeypox virus outbreaks cont...
Understanding dengue dynamics from a spatiotemporal perspective has become increasingly relevant in recent years, as it allows the identification of f...
Noninvasive diagnosis and longitudinal surveillance of urothelial carcinoma (UC) remain clinically challenging. Here, we developed and prospectively v...
BACKGROUND: Sepsis and infection are distinct yet overlapping conditions in the intensive care unit (ICU), posing diagnostic and management challenges...
The Danjiangkou Reservoir is the drinking-water source of the South-to-North Water Diversion Middle Route and a national Class I drinking-water protec...
Diabetes affects an estimated 828 million people worldwide; prevalence is growing rapidly in low- and middle-income countries (LMICs), with major heal...
OBJECTIVES: The pharmaco-epidemiological research program in kidney transplantation (PERP-KT) aims to evaluate, for the principal maintenance immunosu...
Completion of the HEDIS (Healthcare Effectiveness Data and Information Set) Childhood Immunization Status Combination 10 (Combo 10) measure among US c...
Occupational arsenic exposure (OEA), mainly through inhalation in workplace settings, is an established carcinogenic hazard associated with lung, skin...
Anorectal bacterial sexually transmitted infections, predominantly chlamydia, gonorrhoea and syphilis, represent a substantial and evolving global hea...
Typhoid fever, caused by Salmonella enterica subsp. enterica serovar Typhi (Salmonella Typhi), remains a significant global health challenge that is i...
Machine learning can support population-level severe tooth loss (STL; ≥6 missing teeth) risk stratification; however, a lack of calibration under doma...
Sepsis is a multi-system physiological syndrome defined as a dysregulated host response to infection. Despite recent advances clinicians continue to d...